Journal of Korean Academy of Fundamentals of Nursing (기본간호학회지)

Korean Academy of Fundamentals of Nursing (기본간호학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of Nursing Diagnoses Applied to Emergency Room Patients - Using the NANDA Nursing Diagnosis Classification -

응급실 입원환자에게 적용된 간호진단분석 - NANDA 간호진단 분류 이용 -

  • Received : 2014.02.18
  • Accepted : 2015.02.11
  • Published : 2015.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: This study was done to identify essential nursing diagnoses using NANDA and their related factors and defining characteristics of patients who were cared in an emergency room. Methods: The research checklist developed by the researcher consisted of 44 nursing diagnoses with defining characteristics and related factors and was applied to 235 patients who were admitted to an emergency room from November 1 to December 31, 2012. Results: Forty-one of forty-four nursing diagnoses were identified. The most frequent nursing diagnoses were acute pain, risk for falls, and activity intolerance. The most frequent defining characteristic for the nursing diagnosis of 'acute pain' was verbal report of pain. The agreement rate with NANDA (2009)'s defining characteristics was 66.7%. Conclusion: Results indicate that identification of essential nursing diagnoses and their defining characteristics and related/risk factors is important for emergency patient nursing care to facilitate use of NANDA taxonomy in the emergency nursing practice and documentation systems.

Keywords

References

  1. Park MJ. Identification of nursing diagnosis-outcome-intervention (NANDA-NOC-NIC) linkage in MICU inpatients [dissertation]. Gwangju: Chonnam National University; 2010.
  2. Choi SH, Kim YJ, Mun H, Park MJ, Sun JJ, Yang YO, et al. Nursing process. 3rd ed. Seoul: Hyunmunsa; 2013.
  3. Wilkinson JM. Nursing process and critical thinking. 4th ed. Upper Saddle River, NJ: Prentice Hall; 2007.
  4. Park SA, Park JH, Jung SM, Joo MK, Kim BJ, Lee ES, et al. A validity study for linkage of nursing diagnosis and nursing interventions classification. Journal of Korean Academy of Nursing Administration. 2001;7(2):315-347.
  5. Moorhead S, Johnson M, Maas M. Nursing outcomes classification (NOC). 3rd ed. St. Louis, MO: Mosby; 2004.
  6. Carpenito-Moyet L. Nursing diagnosis: Application to clinical practice. 14th ed. Philadelphia, PA: Lippincott; 2012.
  7. Ko E, So HS. Construction and application of nursing information system using NANDA-NOC-NIC linkage in medical.surgical nursing units. Korean Journal of Adult Nursing. 2013;25(4):365-376. http://libproxy.jnu.ac.kr/90a6552/_Lib_Proxy_Url/www.riss.kr/link? id=A99783405 https://doi.org/10.7475/kjan.2013.25.4.365
  8. Kim PJ. Application model of the nursing process to electric medical records for cardiodiovascular patients [dissertation]. Seoul: Yonsei University; 2006.
  9. Oh HG, Choi KW. A validation study of nursing diagnosis in emergency care unit. Journal of Korean Academy of Fundamentals of Nursing. 2003;10(2):145-153.
  10. Oh HS. Analysis of nursing diagnoses and nursing interventions for patients in ER with abdominal pain [master's thesis]. Seoul: Yonsei University; 2006.
  11. Lee JY. Development and evaluation of the computerized nursing diagnosis/intervention system for nutritional and eliminative problems. Journal of Korean Academy of Nursing. 2000;30(4):1078-1087. https://doi.org/10.4040/jkan.2000.30.4.1078
  12. de Assis CC, de Barros ABL. Nursing diagnoses in patients with congestive heart failure. International Journal of Nursing Terminologies and Classifications. 2003;4(4):1-6.
  13. de Carvalho EC, Martins FT, Dalri MC, Canini SR, Laus AM, Bachion MM, et al. Relations between nursing data collection, diagnoses and prescriptions for adult patients at an intensive care unit. Revista Latino-Americana de Enfermagem. 2008;16(4):700-706. https://doi.org/10.1590/S0104-11692008000400008
  14. Rivera JC, Parris KM. Use of nursing diagnoses and interventions in public health nursing practice. Nursing Diagnosis. 2002;13(1):15-23. https://doi.org/10.1111/j.1744-618X.2002.tb00160.x
  15. Cho EJ, Kim NC. Validation of major nursing diagnosis-outcome-intervention (NANDA-NOC-NIC) linkage for adult surgery patients of post anesthetic care unit. Journal of Korean Clinical Nursing Research. 2008;14(3):141-151.
  16. Bae YS. An analysis of nursing diagnoses practically applied to open heart surgery patients. Korean Journal of Adult Nursing. 1994;6(1):70-80.
  17. Kim MH. An analysis of nursing diagnoses practically applied to cerebrovascular patients. Daegu Health College. 1996;16:527-539.
  18. Yu HS, Lee CH. A study for application of pain and anxiety diagnosis using NANDA classification. Korean Journal of Adult Nursing. 1990;2(1):107-123.
  19. Park HJ. Development and application of the computerized nursing process program using nursing diagnosis-outcome -intervention (NANDA-NOC-NIC) linkage [master's thesis]. Gwangju: Chonnam National University; 2003.
  20. Marini M, Chaves EH. Evaluation of the accuracy of nursing diagnoses in a brazilian emergency service. International Journal of Nursing Terminologies and Classifications. 2011;22(2):56-67. https://doi.org/10.1111/j.1744-618X.2010.01175.x
  21. North American Nursing Diagnosis Association International. Nursing diagnoses 2009-2011: Definitions and classification. Philadelphia: John Wiley & Sons; 2009.

Cited by

  1. The Network Analysis of Nursing Diagnoses for Children Admitted in Pediatric Units Determined by Nursing Students vol.42, pp.3, 2017, https://doi.org/10.21032/jhis.2017.42.3.223
  2. 응급의료센터에 내원한 복부통증 노인 환자에 대한 간호기록 분석 vol.26, pp.1, 2015, https://doi.org/10.5953/jmjh.2019.26.1.27
  3. 텍스트네트워크분석을 적용한 통증관리 간호연구의 지식구조 vol.49, pp.5, 2015, https://doi.org/10.4040/jkan.2019.49.5.538